Senior Software Engineer - Search

Menlo Ventures; Bengaluru; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Databricks is seeking ML Engineers across junior to senior levels to enhance the search and discovery experience on its platform. You will develop ML-based search and ranking models, implement NLP pipelines, and drive end-to-end improvements that affect millions of users.

You will collaborate with product teams to deploy scalable systems, advance query understanding, and contribute to robust offline and online evals, empowering Databricks to deliver faster, more relevant results across datasets

Qualifications

• BS+ in Computer Science or related field; MS/PhD preferred.
• 5+ years of experience building search relevance systems at scale.
• Experience applying LLMs to search relevance.
• Experience in query understanding, NLP, text mining, recommendations, personalization, discovery, or conversational AI.

Responsibilities

• Drive development and deployment of ML-based search and discovery relevance models.
• Design automated ML and NLP pipelines for data preprocessing, query understanding, ranking, and evaluation.
• Collaborate with product managers to enable data-driven, technology-first search strategies.
• Contribute to robust offline and online evaluation framework for search ranking improvements.

Skills

Search relevance

ML engineering

LLMs

NLP

Recommender systems

Personalization

Education

BS+ in Computer Science

MS/PhD preferred

Tools

Python

PyTorch

ML pipelines

NLP toolkits

Job description

P-926

The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks.

As our Search product continues to evolve, we are seeking multiple ML Engineers from junior levels to more senior levels to drive enhancements to our Search Quality. In 2026, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key Responsibilities

• Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services.
• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration.
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience.
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For

• BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
• 5+ years experience developing search relevance systems at scale in production or in high-impact research environments.
• Experience applying LLM to search relevance
• Experience in one or more of the following:
  • Query understanding
  • NLP
  • Text mining
  • Recommendations
  • Personalization
  • Discovery
  • Conversational AI
• Strong understanding of computer science fundamentals.
• Contributions to well-used open-source projects.

Why Join Us?

At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.